Biological Measurement Data Processing Device for Notification Timing
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Solution Overview
Problem
Existing biological measurement data processing systems fail to notify users of subjective health condition changes or abnormalities at an appropriate timing, leading to poor user intervention and notification effectiveness.
Innovation Solution
A biological measurement data processing device and method that evaluates an event score based on biological data and a situation score based on user situation data, calculating a notification score to determine the appropriateness and timing of user notification for subjective health condition changes or abnormalities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If immediate notification is issued when an event is detected, then the responsiveness and immediacy of notification is improved, but the user may not be in a suitable situation to confirm or act on the notification, reducing intervention effectiveness
Solution Approach 1:
The system performs preliminary evaluation of the user's situation (current activity, historical behavior patterns, contextual data) before issuing a notification. This allows the system to predict whether the user will be able to effectively respond to a notification at the current moment, and only notifies when the situation is appropriate for intervention, thereby maintaining both speed and reliability.
2Reliability
If notification is delayed until user situation is optimal, then the user can confirm and act on notification more effectively, but the immediacy and responsiveness of notification is reduced
Solution Approach 1:
The system continuously monitors user situation data and provides feedback to the notification decision-making process. By evaluating real-time situation data (current activity, location, historical patterns) and comparing it against criteria for appropriate notification timing, the system dynamically adjusts when to issue notifications, optimizing both immediacy and effectiveness through continuous feedback loops.
3Reliability
If multiple evaluation factors are considered for notification timing, then the appropriateness and effectiveness of notification is improved, but the system complexity increases
Solution Approach 1:
The complex evaluation process is segmented into distinct functional modules: an event detection unit that identifies health events, a situation evaluation unit that assesses user context, and a notification decision unit that integrates both evaluations. This segmentation allows each module to handle specific tasks independently, making the overall complex system more manageable and maintainable while still considering multiple factors.
Data Source
AI summary
Provided is a processing device capable of notifying a user of detection of an event at a timing appropriate for the user when the event is detected based on biological measurement data of the user. A biological measurement data processing device according to the invention includes a reception unit configured to receive biological measurement data of a user and situation expression data expressing a situation of the user, an event score evaluation unit configured to evaluate, based on the biological measurement data, an event score indicating a degree to which confirmation or an intervention behavior is to be performed by the user regarding an event that occurred with the user, a situation score evaluation unit configured to evaluate, based on the situation expression data, a situation score indicating a degree of a situation in which the user easily performs a behavior regarding a notification, and a notification score evaluation unit configured to calculate, based on the event score and the situation score, a notification score expressing a degree of appropriateness to notify the user of occurrence of the event, and output the notification score.